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The volume of the coming data in HEP is growing. The volume of the data to be held for a long time is growing as well. Large volume of data–big data–is distributed around the planet. The methods, approaches how to organize and manage the globally distributed data storage are required. The distributed storage has several examples for personal needs like own-cloud. org, pydio. com, seafile. com, sparkleshare. org. For enterprise-level there is a number of systems: SWIFT-distributed storage systems (part of Openstack), CEPH and the like which are mostly object storage. When several data center's resources are integrated, the organization of data links becomes very important issue especially if several parallel data links between data centers are used. The situation in data centers and in data links may vary each hour. All that means each part of distributed data storage has to be able to rearrange usage of data …